301 to 325 of 1,157 BigQuery Jobs in the UK

Widen the Net Limited provided pay range This range is provided by Widen the Net Limited. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the More ❯

Join to apply for the Lead Data Analyst role at PetLab Co. Join to apply for the Lead Data Analyst role at PetLab Co. Get AI-powered advice on this job and more exclusive features. Direct message the job poster More ❯

Role: Senior Data Analyst Location: London (Hybrid - 3 days in-office) Salary: £60,000- £80,000 Industry: Retail Overview: This is an exciting hands-on opportunity well-suited to a versatile individual who thrives in dynamic, fast-paced environments. The More ❯

Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation Recruitment Consultant | SR2 - Socially Responsible Recruitment SR2 are currently looking for a highly motivated Senior Data Engineer for financial services company in Central London. Location: Central London More ❯

Lead Data Analyst - Growth & Retention Location: Remote (1 Day per month in London office) Department: Data Reports to: Director of Data About the Role We're looking for a Lead Data Analyst to join our Growth team and play a More ❯

the ability to work in a fast-paced, startup environment. Responsibilities Build and maintain BI dashboards using Looker/Google Data Studio. Develop data models in dbt using Google BigQuery as the primary data warehouse. Handle SQL-based queries and transformations to support business reporting. Work collaboratively within the BI team to address data requests. Adapt quickly to evolving … requests efficiently. Required Skills & Experience 2+ years of experience in a BI Analyst or Data Analyst role. Strong SQL skills for data extraction, transformation, and analysis. Experience with Google BigQuery and dbt (or similar data transformation tools). Hands-on experience with BI tools such as Looker or Google Data Studio. Ability to work independently in a fast-paced More ❯

across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI More ❯

across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems. Key Responsibilities: Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI. Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations. Implement retrieval-augmented generation … and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages: Python, SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI More ❯

such as Google Search Console, Ahrefs, etc Good knowledge of commercial optimisation Desirable Qualities: Good knowledge of Python, data analytics libraries, REST/RESTful APIs, Google Cloud Platform (GCP), BigQuery, and Relational databases is a plus Familiarity with current trends in Analytics, E-commerce, AI Search, LLMs, and Marketing would be desirable Consistent and proactive contributions to improve the More ❯

the integrity of analytics data (e.g. implementation of measurement frameworks, data collection and reporting configurations). Qualifications Must-Have Skills Experience with SQL, ideally on cloud-based platforms (e.g. BigQuery) with the ability to model data for advanced analysis. Ability to join various data sources (in BigQuery, Sheets, Looker Studio etc.) to enable cross-functional reporting and analysis. More ❯

such as Google Search Console, Ahrefs etc Good knowledge of commercial optimisation Desirable Qualities: Good knowledge of Python, data analytics libraries, REST/RESTful APIs, Google Cloud Platform (GCP), BigQuery, Relational databases is a plus Familiarity with current trends in Analytics, Ecommerce, AI Search, LLMs, Marketing would be desirable Consistent and a proactive contribution to improve the user experience More ❯

marketing, product, operations, finance, and customer experience, among others. You’ll work closely with the growth and product teams, providing web analytics support using GA360/GA4 data in BigQuery, and enabling self-serve reporting in business tools. You’ll also contribute to an emerging AI and automation roadmap—building lightweight tools, enhancing process efficiency, and helping the team … test and scale innovations that drive measurable value. The Data Engineer will be responsible for: Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma, etc.) Supporting web analytics, conversion funnels, and traffic segmentation Collaborating with business stakeholders to model meaningful metrics and enable self-service reporting Working on internal AI initiatives like customer segmentation, recommendation systems More ❯

ll do as a Solutions Architect with us? Create Solution architectures for Data Engineering and Analytics projects using Google native products like Pub/Sub, DataFlow, Cloud Functions, Google BigQuery, and Looker. Create Solution architectures for Data Engineering and Analytics projects using AWS products like S3, Redshift, QuickSight, and AWS SageMaker. Build high-performance, scalable architecture presentations and generate More ❯

Auth0, Keycloak, AWS Cognito. Backend Services & Development: ETLs, scripting tools, command-line tool authoring. Databases Relational Databases: PostgreSQL, MySQL, MariaDB, Microsoft SQL Server. Cloud-based data warehouse solutions e.g. Bigquery, Snowflake, AWS, Azure. DevOps & Infrastructure Version Control & CI/CD: Git, GitHub Actions, merge operations. Testing: Unit testing, integration testing, smoke testing. Other Technologies & Experience Python, PHP, XSLT, DTD More ❯

Machine Learning. Advanced knowledge of Python & DS packages (numpy/pandas/sklearn/keras, etc.); ability to optimize and speed up code. Solid experience with SQL (MySQL, Google BigQuery); understanding of data warehousing and ETL processes. Know how to deploy models to production: Flask/FastAPI, Linux, Docker, GitLab CI/CD, GCP. Understanding algorithms & data structures; software More ❯

transformation projects with a focus on end-to-end architecture Deep interest in how architectures can improve experiences and drive better business decisions Experience with Google Cloud Platform stack (BigQuery, Composer, Dataplex, Dataflow, Cloud Functions, Cloud Run, Pub/Sub, GCS, Vertex AI, GKE) or similar cloud platforms Familiarity with open-source data-stack tools (Airflow, DBT, Kafka, Great More ❯

continuous improvements. Champion a data-driven culture within the business. What they are Looking For: 5+ years’ experience in Data Engineering. Strong background in Google Cloud Platform (GCP), particularly BigQuery and Pub/Sub. Experience with dbt for data transformation. Advanced SQL skills and experience working with relational databases. Familiarity with Git, CI/CD pipelines (GitHub Actions or More ❯

insights and propose solutions. Create engaging, interactive data visualization dashboards. Understand customer digital journeys and market dynamics. Conduct detailed data discovery and analysis on datasets such as GA4 and BigQuery to uncover insights. Lead our web tagging strategy in collaboration with digital teams. Consolidate existing reports into manageable dashboards. Work independently and as part of the BI team on More ❯

minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security controls, including IAM, Zero Trust models, encryption, and API security best More ❯

minimal disruption to business operations. Optimize data storage and retrieval mechanisms across cloud-based databases, preferably Azure CosmosDB, Neo4j Graph DB (or similar technology e.g., Amazon RDS, Azure SQL, BigQuery, NoSQL). Architect microservices-based applications, ensuring modular, scalable, and API-first designs Design and implement application security controls, including IAM, Zero Trust models, encryption, and API security best More ❯

any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech Understanding of retention strategies or regulated industries What’s in It More ❯

any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech Understanding of retention strategies or regulated industries What’s in It More ❯

any of the following, that’s a bonus—but not a requirement: Big data tools (e.g., Spark, Databricks, Elasticsearch) Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech Understanding of retention strategies or regulated industries What’s in It More ❯

Not Dealbreakers) If you’ve worked with any of the following, that’s a bonus—but not a requirement: Salesforce Marketing Cloud or campaign analytics Google Analytics (and ideally BigQuery) Alteryx or similar BI/automation tools A previous role in digital entertainment, sports, or consumer-focused tech Understanding of retention strategies or regulated industries What’s in It More ❯

Python and SQL. Proven work experience in Google Cloud Platform or other clouds, developing batch (Apache Airflow) and streaming (Dataflow) scalable data pipelines. Experience processing large datasets at scale (BigQuery, Apache Druid, Elasticsearch) Familiarity with Terraform, DBT & Looker is a plus. Passion around performance optimisation and cost reduction. A commercial mindset, you are passionate about creating outstanding products. Voted More ❯